Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data & AI Manager

Surge Group
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist & AI Product Manager

Data Science Manager

Data Science Manager (Applied AI)

Data Science Manager (Applied AI)

Data Science Manager (Applied AI)

Data Science and AI Engineering Manager

Position Overview:

The Data & AI Manager will take the lead in developing and deploying AI technologies, overseeing the progress of AI projects, and ensuring that all initiatives align with company objectives. This role will require the management of AI-focused initiatives across different regions, specialising in ML, NLP, and LLMs.


Leadership and Team Development:

  • Lead and guide the AI team, creating a high-performance culture that aligns with overall business goals.
  • Set a clear vision for the AI department’s growth and ensure expansion across multiple regions.
  • Oversee the successful delivery of AI projects, ensuring all objectives and quality standards are met.

Technical Strategy and Execution:

  • Manage the design, development, and implementation of machine learning models and LLMs to address business needs.
  • Supervise the integration of AI technologies, optimizing performance and scalability.
  • Drive the adoption of AI solutions using advanced cloud platforms and data processing tools like Databricks.

Client Engagement and Solution Design:

  • Collaborate with sales teams to understand client requirements and develop tailored AI solutions during pre-sales engagements.
  • Lead the design and evaluation of AI architectures to ensure they are scalable, efficient, and cost-effective.
  • Work closely with marketing and sales teams to effectively position AI solutions in the market.

Regional Collaboration and Delivery:

  • Ensure consistent AI solution delivery across regions, adhering to global standards.
  • Build and maintain strong relationships with regional stakeholders to facilitate AI solution adoption and integration.

Innovation and Continuous Development:

  • Stay abreast of the latest AI advancements and industry trends, ensuring the team utilizes cutting-edge tools and methodologies.
  • Cultivate a culture of continuous learning and improvement, encouraging the team to embrace best practices in AI development and deployment.
  • Ensure compliance with data governance, security, and regulatory standards to maintain high-quality AI solutions.

Professional Requirements

  • A degree in Computer Science, Data Science, AI, or a related field; an advanced degree (Master's or Ph.D.) is preferred.
  • 7+ years of experience in AI and machine learning, with a minimum of 3 years in a leadership or managerial role.
  • Strong expertise in machine learning models, LLMs, and platforms like Databricks and Microsoft Azure.
  • Proven experience in solution design, pre-sales, and managing client relationships.
  • Demonstrated ability to manage AI teams across multiple regions and ensure alignment with organizational strategies.
  • Strong leadership, communication, and interpersonal skills.
  • Experience in budget management, resource planning, and strategic development for AI projects.


Location: London Hybrid

Duration:FT/Perm

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.